DIY1 | Distance matrix for DIY stores |
DIY2 | DIY store information |
DIY3 | Data for origins (DIY store customers' places of residence) |
Freiburg1 | Distance matrix for grocery stores in Freiburg |
Freiburg2 | Statistical districts of Freiburg |
Freiburg3 | Grocery stores in Freiburg |
geom | Geometric mean |
grocery1 | Grocery store choices in Goettingen |
grocery2 | Grocery store market areas in Goettingen |
huff.attrac | Local optimization of attraction values in the Huff Model |
huff.decay | Distance decay function in the Huff model |
huff.fit | Fitting the Huff model using local optimization of... |
huff.lambda | Fitting the distance parameter lambda in the Huff model |
huff.shares | Huff model market share/market area simulations |
ijmatrix.create | Interaction matrix with market shares |
ijmatrix.crosstab | Converting interaction matrix with market shares to... |
ijmatrix.shares | Market shares in interaction matrix |
lm.beta | Beta regression coefficients |
mci.fit | Fitting the MCI model |
MCI-package | Multiplicative Competitive Interaction (MCI) Model |
mci.shares | MCI market share/market area simulations |
mci.shares.elast | Market share elasticities |
mci.transmat | Log-centering transformation of an MCI interaction matrix |
mci.transvar | Log-centering transformation of one variable in an MCI... |
model.fit | Goodness of fit statistics for the Huff model |
shares.segm | Segmentation of market areas by a criterion |
shares.total | Total market shares/market areas |
shopping1 | Point-of-sale survey in Karlsruhe |
shopping2 | Distance matrix for the point-of-sale survey in Karlsruhe |
shopping3 | Market area data for the point-of-sale survey in Karlsruhe |
shopping4 | Grocery store data for the point-of-sale survey in Karlsruhe |
var.asdummy | Creating dummy variables |
var.correct | Correcting MCI input variables |
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